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Dr. Amoo designs and develops application-specific Field Programable Gate Array (FPGA) -based processors to tackle the problem of computational complexity. She has particular interest in High Performance Computing (HPC), remote sensing, autonomous navigation, and extraterrestrial applications wherein size, weight, power, speed, and computational accuracy are criteria. She has expertise in integer, fixed, and floating-point hardware system design, signal processing, controls, and atmospheric radiative transfer modelling. Dr. Jack Bringardner, NYU's Tandon School of EngineeringJack Bringardner is the Assistant Dean for Academic and Curricular Affairs at NYU Tandon School of Engineering. He is also an Assistant Professor in the General Engineering Department and Civil Engineering Department where he teaches the First-Year Engineering Program course Introduction to Engineering and Design. He is the Director of Vertically Integrated Projects at NYU. His Vertically Integrated Projects course is on Smart Cities Technology with a focus on transportation. His primary focus is developing curriculum, mentoring students, and engineering education research, particularly for project-based curriculum, first-year engineering, and transportation. He is active in the American Society for Engineering Education and is the Webmaster for the ASEE First-Year Programs Division and the First-Year Engineering Experience Conference. He is affiliated withthe Transportation Engineering program in the NYU Civil and Urban Engineering Department. He is the advisor for NYU student chapter of the Institute for Transportation Engineers.

The ability to prepare systems in specific target states through quantum engineering is essential for realizing the new technologies promised by a second quantum revolution. Here, we recast the fundamental problem of state preparation in high-dimensional Hilbert spaces as ManQala, a quantum game inspired by the West African sowing game mancala. Motivated by optimal gameplay in solitaire mancala, where nested nearest-neighbor permutations and actions evolve the state of the game board to its target configuration, ManQala acts as a pre-processing approach for deterministically arranging particles in a quantum control problem. Once pre-processing with ManQala is complete, existing quantum control methods are applied, but now with a reduced search space. We find that ManQala-type strategies match, or outperform, competing approaches in terms of final state variance even in small-scale quantum state engineering problems where we expect the slightest advantage, since the relative reduction in search space is the least. These results suggest that Man-Qala provides a rich platform for designing control protocols relevant to near-term intermediate-scale quantum technologies.

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